Machine learning and microRNA offer accurate prediction

Craif Inc. in Nagoya, Japan, working with Nagoya University’s Institute of Innovation for Future Society, has developed a urine-based biological aging clock. In validation of the method, predicted ages came within 4.4 years of chronological age on average.

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